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Determinants of the efficacy of HIV latency-reversing agents and implications for drug and treatment design
Ruian Ke, Jessica M. Conway, David M. Margolis, Alan S. Perelson
Ruian Ke, Jessica M. Conway, David M. Margolis, Alan S. Perelson
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Research Article AIDS/HIV Therapeutics

Determinants of the efficacy of HIV latency-reversing agents and implications for drug and treatment design

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Abstract

HIV eradication studies have focused on developing latency-reversing agents (LRAs). However, it is not understood how the rate of latent reservoir reduction is affected by different steps in the process of latency reversal. Furthermore, as current LRAs are host-directed, LRA treatment is likely to be intermittent to avoid host toxicities. Few careful studies of the serial effects of pulsatile LRA treatment have yet been done. This lack of clarity makes it difficult to evaluate the efficacy of candidate LRAs or predict long-term treatment outcomes. We constructed a mathematical model that describes the dynamics of latently infected cells under LRA treatment. Model analysis showed that, in addition to increasing the immune recognition and clearance of infected cells, the duration of HIV antigen expression (i.e., the period of vulnerability) plays an important role in determining the efficacy of LRAs, especially if effective clearance is achieved. Patients may benefit from pulsatile LRA exposures compared with continuous LRA exposures if the period of vulnerability is long and the clearance rate is high, both in the presence and absence of an LRA. Overall, the model framework serves as a useful tool to evaluate the efficacy and the rational design of LRAs and combination strategies.

Authors

Ruian Ke, Jessica M. Conway, David M. Margolis, Alan S. Perelson

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Figure 3

The determinants of LRA efficacy in a 10-dose LRA cycle regimen.

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The determinants of LRA efficacy in a 10-dose LRA cycle regimen.
(A) The...
(A) The LR rate (α) and the clearance rate (δ) are equally important in determining LRA efficacy. Color indicates reservoir reduction (r.r.) (in log10) at 4-week follow-up after a 10-dose LRA cycle regimen. (B) Increasing the period of vulnerability (1/γ) can substantially increase LRA efficacy when the clearance rate, δ, is high. (C) Decreasing the refractory period (1/ω) can further reduce the reservoir size when the clearance rate, δ, is high, although the impact of this parameter on reservoir reduction is not as strong as that of α, δ, γ, and ω. Across the 3 panels, ‘×’ shows the baseline parameter values used (given in the caption for Figure 2).

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